The transportation sector has faced increased environmental pressure due to the rapid motorization in China over recent years. In addition to energy policies and the use of fuel-efficient vehicles, CO2 emissions and fuel consumption can be lowered through the application of intelligent transportation systems (ITS) technologies that can affect drivers’ route choice decision-making process and reduce congestion. Ecological route (eco-route) planning is one such strategy that provides the least CO2 emission and fuel consumption routes for vehicles. In this article, a set of mesoscopic vehicle emission and fuel consumption models are established based on locally collected vehicle operation and emission data, and these models are more appropriate for evaluating the effectiveness of ITS strategies with sufficient estimation accuracy. Based on the proposed models and a dynamic traffic information database, an eco-route planning algorithm is proposed as well, which is expected to be consistent with the road network characteristics of China cities. Furthermore, the environmental impact of the eco-route is fully evaluated with tests undertaken in Beijing urban areas. The results show that the proposed eco-route algorithm significantly reduces fuel consumption and has good environmental performance.


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    Titel :

    Study on Eco-Route Planning Algorithm and Environmental Impact Assessment


    Beteiligte:
    Yao, Enjian (Autor:in) / Song, Yuanyuan (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2013-01-01


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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